conftrace_

model utility

36 papers

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Co-occurring keywords

machine unlearning (290) large language model (13587) privacy preservation (380) differential privacy (1016) knowledge retention (67) selective unlearning (9) low-rank adaptation (560) language model (4599) knowledge editing (295) knowledge distillation (3725)

Papers

Beyond Superficial Forgetting: Thorough Unlearning Through Knowledge Density Estimation and Block Re-Insertion AAAI 2026
BLUR: A Bi-Level Optimization Approach for LLM Unlearning EACL 2026
Not All Tokens Are Meant to Be Forgotten AAAI 2026
Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI AAAI 2026
Large Language Model Unlearning for Source Code AAAI 2026
MUNBa: Machine Unlearning via Nash Bargaining ICCV 2025
Lacuna Inc. at SemEval-2025 Task 4: LoRA-Enhanced Influence-Based Unlearning for LLMs ACL 2025
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting AAAI 2025
STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models CVPR 2025
Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design ICCV 2025
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning ICCV 2025
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization COLING 2025
Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench NAACL 2025
Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs NAACL 2025
A General Framework to Enhance Fine-tuning-based LLM Unlearning ACL 2025
Improve Safety Training of Large Language Models with Safety-Critical Singular Vectors Localization ACL 2025
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models EMNLP 2025
Cyber for AI at SemEval-2025 Task 4: Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language Models ACL 2025
Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models EMNLP 2025
NEKO at SemEval-2025 Task 4: A Gradient Ascent Based Machine Unlearning Strategy ACL 2025
SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? ACL 2025
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning AAAI 2025
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models ACL 2025
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models NIPS 2024
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor NIPS 2024